{"id":"W4220686362","doi":"10.1371/journal.pone.0264411","title":"Gender differences in time use across age groups: A study of ten industrialized countries, 2005–2015","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat de Catalunya; Dirección General de Universidades e Investigación; Centres de Recerca de Catalunya; Ministerio de Ciencia, Innovación y Universidades","keywords":"Demography; Developed country; Young adult; Geography; Age groups; Medicine; Gerontology; Population; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00129574,0.0004219832,0.0005324297,0.001576423,0.0008582633,0.001045857,0.0005578992,0.0003533167,0.001068111],"category_scores_gemma":[0.002131665,0.0004336381,0.0009426734,0.003369702,0.0004190281,0.0009720192,0.001243976,0.000564757,0.0003951849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008951055,"about_ca_system_score_gemma":0.0007950776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06865541,"about_ca_topic_score_gemma":0.09037818,"domain_scores_codex":[0.9993724,0.00011935,0.0001119406,0.000167688,0.00009036095,0.0001382671],"domain_scores_gemma":[0.9989179,0.0001185606,0.0004902116,0.00008494959,0.0002125335,0.0001757792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004864022,0.00002547323,0.9935457,0.0000646928,0.00007357628,0.00006142447,0.002642247,0.00003388079,0.00005808313,0.00005871794,0.0005533161,0.002834182],"study_design_scores_gemma":[0.000002331984,0.00002378033,0.9956196,0.00003800348,0.00002031024,0.00004879961,0.003241171,0.00003517319,0.00002240555,0.00001343534,0.0009309254,0.000003841961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927298,0.001197358,0.0001286156,0.00006474246,0.00002252325,0.00003383253,0.004879181,0.000004729878,0.0009391163],"genre_scores_gemma":[0.9933103,0.0008902098,0.0002486642,0.0001124118,0.00001376911,0.0001007494,0.004910091,0.000006843827,0.0004069481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06865541,"threshold_uncertainty_score":0.1365116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1735088339332371,"score_gpt":0.3230180786183295,"score_spread":0.1495092446850924,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}